Jinglong Yan

32 total papers · 447 total citations
22 papers, 364 citations indexed

About

Jinglong Yan is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jinglong Yan has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jinglong Yan's work include Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Pain Mechanisms and Treatments (3 papers). Jinglong Yan is often cited by papers focused on Spinal Cord Injury Research (5 papers), Nerve injury and regeneration (4 papers) and Pain Mechanisms and Treatments (3 papers). Jinglong Yan collaborates with scholars based in China and Canada. Jinglong Yan's co-authors include Yufu Wang, Yufu Wang, Jing Li, Chao Chen, He Gong, Jinpeng Zhuang, Ye Ji, Lili Shi, Yi‐Cai Zhang and Jun Tian and has published in prestigious journals such as Spine, BioMed Research International and Journal of Orthopaedic Research®.

In The Last Decade

Jinglong Yan

22 papers receiving 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jinglong Yan 134 118 70 50 48 22 364
Jing Wang 162 1.2× 136 1.2× 56 0.8× 28 0.6× 50 1.0× 17 404
Aysun Gökçe 84 0.6× 110 0.9× 40 0.6× 41 0.8× 27 0.6× 33 378
Julia J. Segura-Uribe 109 0.8× 131 1.1× 68 1.0× 44 0.9× 9 0.2× 24 337
Yansong Wang 112 0.8× 134 1.1× 82 1.2× 34 0.7× 13 0.3× 20 316
Ramazan Kahveci 70 0.5× 118 1.0× 25 0.4× 62 1.2× 17 0.4× 17 345
Ahmed F. Soliman 125 0.9× 31 0.3× 28 0.4× 55 1.1× 31 0.6× 30 384
Dominika Książek-Winiarek 153 1.1× 85 0.7× 46 0.7× 56 1.1× 14 0.3× 15 395
Yong-Ping Wu 142 1.1× 126 1.1× 87 1.2× 79 1.6× 5 0.1× 12 362
Shuaishuai Wang 99 0.7× 86 0.7× 26 0.4× 33 0.7× 9 0.2× 18 340
Ruijun Wang 128 1.0× 28 0.2× 18 0.3× 40 0.8× 42 0.9× 24 401

Countries citing papers authored by Jinglong Yan

Since Specialization
Citations

This map shows the geographic impact of Jinglong Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinglong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinglong Yan more than expected).

Fields of papers citing papers by Jinglong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinglong Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinglong Yan. The network helps show where Jinglong Yan may publish in the future.

Co-authorship network of co-authors of Jinglong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglong Yan. A scholar is included among the top collaborators of Jinglong Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinglong Yan. Jinglong Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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